Babu.N.V¹, Boregowda S B², Puttamadappa C³ and Shivaraj.S.Davanakatti¹, ¹SJB Institute of Technology, India, ²Manipal Institute of Technology, India and ³Sapthagiri College of Engineering, India

The last few years have seen an increased interest in the potential use of wireless sensor networks (WSNs) in various fields like disaster management, battle field surveillance, and border security surveillance. In such applications, a large number of sensor nodes are deployed, which are often unattended and work autonomously. The process of dividing the network into interconnected substructures is called clustering and the interconnected substructures are called clusters. The cluster head (CH) of each cluster act as a coordinator within the substructure. Each CH acts as a temporary base station within its zone or cluster. It also communicates with other CHs. Clustering is a key technique used to extend the lifetime of a sensor network by reducing energy consumption. It can also increase network scalability. Researchers in all fields of wireless sensor network believe that nodes are homogeneous, but some nodes may be of different characteristics to prolong the lifetime of a WSN and its reliability. We have proposed an algorithm for better cluster head selection based on weights for different parameter that influence on energy consumption which includes distance from base station as a new parameter to reduce number of transmissions and reduce energy consumption by sensor nodes. Finally proposed algorithm compared with the WCA, IWCA algorithm in terms of number of clusters and energy consumption.

Wireless sensor network, Two-tiered architecture, Clustering, Energy consumption